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	<title>c-Kit &#8211; Science</title>
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	<title>c-Kit &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>CD117 Staining for GIST: UK EQA Data Reveal Significant Antibody Performance Differences</title>
		<link>https://scienmag.com/cd117-staining-for-gist-uk-eqa-data-reveal-significant-antibody-performance-differences/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Sat, 17 Oct 2026 00:02:02 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Science News]]></category>
		<category><![CDATA[antibody validation in pathology]]></category>
		<category><![CDATA[automation]]></category>
		<category><![CDATA[c-Kit]]></category>
		<category><![CDATA[c-KIT antibody performance]]></category>
		<category><![CDATA[CD117]]></category>
		<category><![CDATA[CD117 immunohistochemistry]]></category>
		<category><![CDATA[Clone 9.7]]></category>
		<category><![CDATA[diagnostic quality]]></category>
		<category><![CDATA[EP10]]></category>
		<category><![CDATA[external quality assessment]]></category>
		<category><![CDATA[gastrointestinal stromal tumour detection]]></category>
		<category><![CDATA[GIST]]></category>
		<category><![CDATA[GIST diagnosis]]></category>
		<category><![CDATA[GIST morphological features]]></category>
		<category><![CDATA[immunohistochemical staining accuracy]]></category>
		<category><![CDATA[immunohistochemistry]]></category>
		<category><![CDATA[importance of accurate GIST diagnosis]]></category>
		<category><![CDATA[interlaboratory variability in CD117 staining]]></category>
		<category><![CDATA[mutation-driven tumourigenesis]]></category>
		<category><![CDATA[polyclonal antiserum]]></category>
		<category><![CDATA[primary antibody]]></category>
		<category><![CDATA[tyrosine kinase inhibitors in GIST]]></category>
		<category><![CDATA[UK EQA GIST testing]]></category>
		<category><![CDATA[UK NEQAS ICC & ISH]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=291466</guid>

					<description><![CDATA[Analysis of 2,656 submissions across 20 UK NEQAS ICC &#38; ISH assessment runs between May 2020 and May 2025 shows that matched antibody-automation combinations produce superior CD117 staining quality, while Clone 9.7 performs significantly worse than all other primary antibodies.]]></description>
										<content:encoded><![CDATA[<p>When a pathologist peers down a microscope at a suspicious growth in the wall of the gut, one of the most consequential questions is whether the lesion is a gastrointestinal stromal tumour, or GIST. These tumours arise predominantly from the interstitial cells of Cajal, the pacemaker cells embedded in the muscle layers of the bowel wall, and most present in the stomach or small intestine with either spindle cell or epithelioid morphology. The primary identifying feature in their diagnosis is immunohistochemical detection of CD117, also known as c-KIT, a tyrosine kinase receptor protein encoded by the KIT gene. Mutations in KIT drive the tumourigenesis of GISTs and explain why they so commonly over-express the protein. Getting that stain right is not merely academic: the introduction of tyrosine kinase inhibitors such as imatinib and sunitinib revolutionised the prognosis for patients with advanced unresectable or metastatic disease, with imatinib highly effective in approximately 85 percent of GISTs, so it is imperative that GISTs are correctly identified at primary diagnosis.</p>
<p>Despite this obvious importance, remarkably few papers have reported on CD117 stain quality in the demonstration of GIST. A 2006 study conducted by the College of American Pathologists found that most participating laboratories produced good quality staining, and in 2019 the NordiQC external quality assessment organisation published an analysis of their own CD117 quality assessments. Now, a team at the UK National External Quality Assessment Scheme for Immunocytochemistry and In-Situ Hybridisation, UK NEQAS ICC &amp; ISH, has mined five years of its own assessment archives to produce what may be the most detailed real-world picture yet of how laboratories actually perform this test, and which of the antibodies in regular use deliver the best results. The work, published in the British Journal of Biomedical Science, analysed data from twenty assessment runs conducted between May 2020 and May 2025.</p>
<p>The design of the scheme&#8217;s Alimentary Tract Pathology EQA Programme is elegant in its simplicity. Each participating laboratory, drawn roughly equally from the UK and overseas and predominantly healthcare-based cellular pathology departments, was provided with a slide bearing unstained sections taken from formalin-fixed paraffin-embedded tissue samples. The samples comprised an appendix, useful for assessing staining of the interstitial cells of Cajal and mast cells, both of which were expected to show specific staining, and for assessing non-specific staining elsewhere; a GIST previously tested to ensure CD117 positivity; and a relevant alternative tumour such as gastric adenocarcinoma, leiomyosarcoma or desmoid tumour, used to detect non-specific staining. After undertaking immunohistochemical staining for CD117 using their in-house standard operating procedures, participants returned their stained slide to UK NEQAS ICC &amp; ISH for collation and central visual assessment.</p>
<p>The quality assessment metrics are rigorous. Four expert assessors score each participant&#8217;s submitted stained slide concurrently but independently using a multi-header microscope, each awarding a score within a range of 1 to 5, with 1 being of no utility and 5 being excellent quality. These scores are summed for all four assessors to give a score in the range 4 to 20. Assessor scores were only allowed to vary by one mark, so scores of 3 and 4 might be awarded by individual assessors scoring the same preparation, but not scores of 3 and 5; when such variations did occur, the quality of staining was discussed and a consensus agreed. If an assessor wished to fail a participant&#8217;s submission, then all assessors must have agreed and awarded scores in the same range. Samples were assessed against expected expression levels established beforehand using preparations stained by the commercial suppliers of commonly used primary antibodies and in-house stained slides, and sections cut at the same time as those distributed to participants were stained on the slide return deadline date to ensure the stability of expression.</p>
<p>The headline numbers are striking. Total submissions across the twenty runs numbered 2,656, with a mean of 132.8 per run and a range of 125 to 140, and the number of participants rose from 125 to 140 over the five-year period, a 12 percent increase. The total number of submissions awarded a quality score indicating at least acceptable stain quality was 2,642, or 99.5 percent. Only 14 submissions failed outright, a mean proportion of 0.5 percent per run; 158 obtained a borderline score, a mean of 5.9 percent; 394 obtained an acceptable score, a mean of 14.8 percent; and 2,090 obtained a good or excellent score, a mean of 78.7 percent. But there was a strong trend for the proportion of submissions obtaining a good or excellent quality score to increase over time, rising from 65 percent at the first run in 2020 to 90 percent at the last in 2025. At one point in the study, only just over half of submissions demonstrated good or excellent staining, which is the standard all laboratories should be aiming to achieve.</p>
<p>Four primary antibody clones and one polyclonal antiserum dominated the field, supplied by the three main commercial suppliers, Agilent Dako, Leica Biosystems and Roche Diagnostics, with one notable exception in the YR145 clone supplied by Cell Marque. Historically, the polyclonal antiserum from Agilent Dako, product code A4502, dominated the field, being the first commercially available primary to be widely reported as effective in the demonstration of CD117 in formalin-fixed paraffin-embedded samples, and submissions using it represented just under half of the total. However, its proportional use showed a steady decline over the course of the study, from 58.7 percent in 2020 to 42.4 percent in 2025. In contrast, the rabbit monoclonal antibody EP10 saw a dramatic increase in use, with the Roche Diagnostics supplied reagent, EP10(RD), seeing a ten-fold increase in proportional use from 3.3 percent to 30.4 percent, such that it became the second-most commonly used primary antibody. For the most part, this increase was due to laboratories that had previously used the polyclonal antiserum switching to EP10(RD), particularly amongst laboratories using Roche Diagnostics automation. Taking EP10(RD) and the Leica Biosystems supplied reagent, EP10(LB), together, the proportion of EP10 users was larger than that of the polyclonal antiserum by the end of the survey period, 48 percent compared to 42.4 percent respectively. Meanwhile, the use of the Clone 9.7 antibody, also from Roche Diagnostics, declined from 12.4 percent to just 0.8 percent.</p>
<p>When the performance of the primaries was examined using higher quality score as the indicator of superior performance, the results were highly statistically significant. The EP10(LB) reagent achieved a mean quality score of 16.9, with 95 percent confidence intervals of 16.7 to 17.0, and no submission that used this primary failed at assessment, in contrast to all other primary reagents where there was at least one fail. Its performance was superior to that of all other primary reagents, with the difference being significant at P less than 0.05 when compared to YR145 and highly significant at P less than 0.0001 when compared to both EP10(RD) and the polyclonal antiserum. Submissions that used Clone 9.7 had the worst performance, with a mean quality score of 14.6, and there was a highly significant association between the use of this antibody clone and lower quality scores when its performance was compared to all other reagents. The YR145, EP10(RD) and polyclonal antiserum produced results that were not significantly different from one another. The overall mean quality score for the whole population was 16.3.</p>
<p>But the most contextually revealing finding concerned the relationship between primary antibody and automation supplier. For Roche Diagnostics there was an absolute association for both Clone 9.7 and EP10(RD), and for Leica Biosystems it was extremely high, at 94.9 percent, for the EP10(LB) reagent. In contrast, the polyclonal antiserum supplied by Agilent Dako was used on machines manufactured by the same supplier with a frequency of only 26.7 percent, being used more frequently on both Leica Biosystems, at 27.6 percent, and Roche Diagnostics supplied automation, at 45.8 percent. When the data was further examined to see if this affected performance results for the polyclonal antiserum, it did. The mean quality score was highest when the polyclonal primary was used on Agilent Dako machines, at 16.6, compared to 16.1 on Leica Biosystems machines and 16.2 on Roche Diagnostics machines, with the difference in quality score distributions statistically significant when comparing Agilent Dako and Leica Biosystems at P less than 0.0001, and Agilent Dako and Roche Diagnostics at P equal to 0.0013. A follow-on analysis looking at submissions which used primary antibody reagent and automation matched for supplier found that EP10(LB) on Leica Biosystems machines and the polyclonal antiserum on Agilent Dako machines were both associated with superior quality staining results compared to those produced by EP10(RD) on Roche Diagnostics machines, but they were not statistically different from each other. This indicates the importance of analysing the data in a context-sensitive way that reflects real-world usage.</p>
<p>The authors conclude that the demonstration of CD117 over-expression in GIST is undertaken to a very high standard of quality in the majority of laboratories that participate in regular scheduled EQA for this important predictive biomarker. Statistically tested and proven results indicate that for users of Agilent Dako supplied automation, the highest quality staining is produced by using the polyclonal antiserum from the same supplier. Users of Leica Biosystems and Roche Diagnostics automation should use the EP10 rabbit monoclonal primary, and should source that reagent from the same supplier that provides their automation. It is recommended that Clone 9.7 as supplied by Roche Diagnostics should not be used, as the results it produces are statistically significantly inferior to those obtained using all other surveyed primary antibodies. The choice of primary antibody should be guided by the type of automation available to the laboratory, and this work represents an advance in biomedical science because it uses a set of real-world data to produce evidence that can be used to assure laboratory testing quality and improve patient outcomes.</p>
<p><strong>Subject of Research:</strong> External quality assessment of CD117 immunohistochemistry for gastrointestinal stromal tumours</p>
<p><strong>Article Title:</strong> Immunohistochemical testing of GISTs using CD117 markers: the UK NEQAS ICC &amp; ISH external quality assessment data show significant differences in the performance of methods in regular use</p>
<p><strong>Article References:</strong> Dodson, A., &amp; Parry, S. (2026). Immunohistochemical testing of GISTs using CD117 markers: the UK NEQAS ICC &amp; ISH external quality assessment data show significant differences in the performance of methods in regular use. <em>British Journal of Biomedical Science, 83</em>, Article 16506. <a href="https://doi.org/10.3389/bjbs.2026.16506" rel="noopener noreferrer">https://doi.org/10.3389/bjbs.2026.16506</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.3389/bjbs.2026.16506" rel="noopener noreferrer">10.3389/bjbs.2026.16506</a></p>
<p><strong>Keywords:</strong> CD117, c-KIT, GIST, immunohistochemistry, UK NEQAS ICC &amp; ISH, external quality assessment, primary antibody, EP10, polyclonal antiserum, Clone 9.7, automation, diagnostic quality</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">291466</post-id>	</item>
		<item>
		<title>Scientists Rank Genetic Switches That Power Gene Control in Sperm-Producing Cells</title>
		<link>https://scienmag.com/scientists-rank-genetic-switches-that-power-gene-control-in-sperm-producing-cells/</link>
		
		<dc:creator><![CDATA[Juliet Wilcox]]></dc:creator>
		<pubDate>Tue, 06 Oct 2026 03:27:30 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[c-Kit]]></category>
		<category><![CDATA[Dazl]]></category>
		<category><![CDATA[functional genomics]]></category>
		<category><![CDATA[Gene regulation]]></category>
		<category><![CDATA[gene regulation in sperm production]]></category>
		<category><![CDATA[gene transfer in germ cells]]></category>
		<category><![CDATA[genetic control of spermatogenesis]]></category>
		<category><![CDATA[germ cell-specific gene promoters]]></category>
		<category><![CDATA[germ cells]]></category>
		<category><![CDATA[Ldhc]]></category>
		<category><![CDATA[Male Fertility]]></category>
		<category><![CDATA[molecular tools for germ cell research]]></category>
		<category><![CDATA[promoter characterization in reproductive biology]]></category>
		<category><![CDATA[promoters]]></category>
		<category><![CDATA[sperm cell developmental genetics]]></category>
		<category><![CDATA[sperm cell gene regulation]]></category>
		<category><![CDATA[spermatogenesis]]></category>
		<category><![CDATA[targeted gene delivery in reproductive tissues]]></category>
		<category><![CDATA[testicular electroporation]]></category>
		<category><![CDATA[testicular gene activation mechanisms]]></category>
		<category><![CDATA[testis-specific gene expression]]></category>
		<category><![CDATA[Tex13c]]></category>
		<category><![CDATA[transgene expression]]></category>
		<category><![CDATA[transgene expression in testicular cells]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=240090</guid>

					<description><![CDATA[A comparative study of mouse germ cell promoters finds the Ldhc promoter drives the strongest and most reliable transgene expression during spermatogenesis, with the Dazl promoter as a strong runner-up.]]></description>
										<content:encoded><![CDATA[<p>Every sperm cell that a male mouse produces is the end point of an elaborate genetic program, one that unfolds over weeks inside the seminiferous tubules of the testis and involves thousands of genes switching on and off with remarkable precision. Scientists who want to understand that program, or correct it when it goes wrong, need tools that can deliver genes into germ cells without disturbing the surrounding tissue. A new study from researchers at the BRIC-National Institute of Animal Biotechnology in Hyderabad, India, published in Molecular Biology Reports, takes a systematic look at one of the most fundamental of those tools: the promoter, the stretch of DNA that acts as a genetic ignition switch, determining where and how strongly a transgene fires.</p>
<p>The research team, led by Nirmalya Ganguli with Srimoyee Koner as first author, isolated and characterized promoter regions from three mouse genes that are known to be active specifically in testicular germ cells: Ldhc, Tex13c, and Dazl. Each of these genes represents a different aspect of sperm biology. Ldhc encodes the testis-specific form of lactate dehydrogenase, an enzyme that has been described as the ultimate testis-specific gene because of its tightly restricted expression pattern. Tex13c belongs to a family of intronless genes expressed after meiosis, and its protein product is thought to be involved in transcriptional repression within the nucleus of developing germ cells. Dazl, meanwhile, is a master translational regulator of spermatogenesis, essential for the proper development of male germ cells.</p>
<p>Why does such a comparative study matter? Promoters are the workhorses of functional genomics. When researchers introduce a gene, a reporter, a short hairpin RNA, or a genome-editing tool into cells, the promoter determines whether the construct will be active in the right cells at the right time. Ubiquitous promoters, such as the widely used CMV promoter, can drive expression broadly, but that lack of specificity is a liability in a tissue as complex as the testis, which contains germ cells at many different stages of development as well as somatic support cells such as Sertoli and Leydig cells. A promoter that fires only in germ cells gives researchers a way to manipulate those cells while leaving their neighbors untouched. Yet, as the authors note in their background section, no prior comparative analysis had established which promoters are most robust for driving expression at various stages of mammalian germ cell development.</p>
<p>Specificity and strength of promoter activity depend on transcription factors that bind to the promoter region. The regulatory logic of germ cell genes is distinctive: many late-stage genes lack canonical TATA boxes and instead rely on cAMP-responsive elements and other motifs that respond to the hormonal and developmental cues of spermatogenesis. Because each promoter recruits its own combination of transcription factors, two promoters from genes expressed in the same tissue can behave very differently when linked to a transgene. That variability is exactly what the Hyderabad team set out to quantify by placing candidate promoters head to head under identical experimental conditions.</p>
<p>The methodological centerpiece of the study is testicular electroporation, a non-surgical technique that delivers DNA constructs directly into the cells of the mouse testis. Rather than creating transgenic mouse lines, which can take months and considerable resources, electroporation allows researchers to inject a plasmid into the seminiferous tubules and apply short electrical pulses that open transient pores in cell membranes, letting the DNA enter. The technique has been established in earlier work as a rapid way to test promoter activity in the native environment of the testis, where germ cells experience the full complement of their normal transcription factors. The team used this approach to validate the expression of marker proteins driven by each candidate promoter in vivo.</p>
<p>When the results were compared, a clear hierarchy emerged. The Ldhc promoter exhibited the strongest germ cell-specific expression of the three, followed by the Dazl promoter. The Tex13c promoter, consistent with its more restricted post-meiotic role, showed a narrower activity profile. For researchers planning gene-function studies, this ranking is immediately actionable: the Ldhc promoter emerges as the preferred driver when maximum expression in germ cells is needed, while the Dazl promoter offers a strong alternative with its own pattern of activity across germ cell stages.</p>
<p>To demonstrate that the winning promoter could do more than glow in a reporter assay, the team carried out a proof-of-concept functional experiment. They placed a short hairpin RNA targeting the c-Kit gene under the control of the Ldhc promoter and delivered it to the mouse testis. The c-Kit gene encodes a receptor tyrosine kinase that plays a well-documented role in the survival and proliferation of differentiating germ cells, and its manipulation is a standard test of whether a delivery system can actually change gene expression in the testis. The result: expression of the shRNA downregulated c-Kit in the mouse testis, showing that the Ldhc promoter is not merely active but capable of driving biologically meaningful silencing constructs in germ cells.</p>
<p>The implications extend beyond mouse genetics. Spermatogenesis is a frequent casualty of human infertility, and disorders of sperm production remain difficult to diagnose at the genetic level despite decades of routine clinical testing. Robust germ cell-specific promoters give researchers a precise instrument for probing gene function during sperm development, potentially illuminating which genes, when disrupted, underlie male infertility. The authors also point to a second, broader application: these promoters can be used to express genome-editing tools specifically in germ cells. Restricting editing machinery to the germ cell population would be a prerequisite for any strategy that seeks to modify the germline, whether for research into developmental genetics or for longer-term applications in animal biotechnology, where engineered lines of livestock or laboratory animals are produced through the germline.</p>
<p>There are also technical nuances worth appreciating. Earlier work by members of the same group had isolated and characterized promoters from the mouse genome to drive post-meiotic germ cell-specific expression, and the present study builds on that foundation by expanding the comparison and validating activity in vivo. The use of an optimized microRNA-like backbone for the shRNA construct reflects current best practice in RNA interference, designed to achieve effective silencing from a single copy of the construct. Quantitative real-time PCR with the comparative threshold method provided the readout of gene expression changes, and the animal experiments were conducted with approval from the Institutional Animal Ethics Committee of the National Institute of Animal Biotechnology, underscoring the regulatory rigor behind the work.</p>
<p>For the field of reproductive biology, the study fills a practical gap that has persisted for years. Single promoters have been validated before, including the classic demonstration in transgenic mice that the LDHC promoter drives testis-specific expression, and germ cell reporters based on Dazl have been generated previously. What was missing was a side-by-side evaluation conducted under the same conditions, in the same tissue, with the same delivery method, so that researchers could make an informed choice among candidates. By ranking Ldhc above Dazl and establishing both as reliable drivers during spermatogenesis, the Hyderabad team has handed gene-function researchers a validated toolbox. As genome editing moves deeper into studies of development and fertility, the humble promoter, the oldest tool in the transgenic toolkit, is proving once again that the success of any genetic experiment begins with choosing the right switch.</p>
<p><strong>Subject of Research:</strong> Comparative characterization of germ cell-specific promoters for driving transgene expression during mouse spermatogenesis</p>
<p><strong>Article Title:</strong> Comparative evaluation of germ cell-specific promoters identifies robust drivers of transgene expression during mouse spermatogenesis</p>
<p><strong>Article References:</strong> Koner, S., Das, A., Chatterjee, S., &amp; Ganguli, N. (2026). Comparative evaluation of germ cell-specific promoters identifies robust drivers of transgene expression during mouse spermatogenesis. <em>Molecular Biology Reports, 53</em>(1), Article 1648. <a href="https://doi.org/10.1007/s11033-026-12822-7" rel="noopener noreferrer">https://doi.org/10.1007/s11033-026-12822-7</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s11033-026-12822-7" rel="noopener noreferrer">10.1007/s11033-026-12822-7</a></p>
<p><strong>Keywords:</strong> promoters, spermatogenesis, germ cells, Ldhc, Dazl, Tex13c, transgene expression, testicular electroporation, c-Kit, male fertility, functional genomics, gene regulation</p>
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